Machine learning

Ghani, Rayid ; Schierholz, Malte

Document Type: Book chapter
Year of publication: 2017
Book title: Big data and social science : a practical guide to methods and tools
Page range: 147-186
Publisher: Foster, Ian
Place of publication: Boca Raton ; London ; New York, NY
Publishing house: CRC Press, a Chapman & Hall Book
ISBN: 978-1-4987-5140-7
Publication language: English
Institution: Außerfakultäre Einrichtungen > Mannheim Centre for European Social Research - Research Department A
Subject: 300 Social sciences, sociology, anthropology
Abstract: This chapter introduces you to the value of machine learning in the social sciences, particularly focusing on the overall machine learn- ing process as well as clustering and classification methods. You will get an overview of the machine learning pipeline and methods and how those methods are applied to solve social science problems. The goal is to give an intuitive explanation for the methods and to provide practical tips on how to use them in practice.

Dieser Eintrag ist Teil der Universitätsbibliographie.

Metadata export


+ Search Authors in

+ Page Views

Hits per month over past year

Detailed information

You have found an error? Please let us know about your desired correction here: E-Mail

Actions (login required)

Show item Show item